chinese cardiovascular disease database (ccdd) and its management tool
文献类型:会议论文
作者 | Jia-Wei Zhang ; Li-Ping Wang ; Xia Liu ; Hong-Hai Zhu ; Jun Dong |
出版日期 | 2010 |
会议名称 | 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 |
会议日期 | 43982 |
会议地点 | Philadelphia, PA, United states |
关键词 | Bioinformatics Database systems Diseases Electrocardiography Electrochromic devices |
页码 | 66-72 |
英文摘要 | Standard Electrocardiogram (ECG) database is prepared for testing the performance of automatic detection and classification algorithms. At present, there are three mainstream standard databases used by computer-aided ECG diagnosis researchers: MIT-BIH arrhythmia database, CSE multi-lead database and AHA database. By the progress of ECG in both equipment and diagnosis theory, fatal deficiency was found in these databases and a new one is needed for further studies. So Chinese Cardiovascular Disease Database (CCDD or CCD database), which contains 12-Lead ECG data and detailed features with diagnosis result is proposed. It is distinguished not only by improving the raw ECG data's technical parameters, but also introduces some morphology features. Investigation shows these features are utilized by experienced cardiologists effectively. CCDD is used in our group as well as aiming for other and others' projects in the future. © 2010 IEEE. |
收录类别 | EI |
会议主办者 | IEEE Computer Society; Jefferson Medical College; The Institute for Computational Biomedicine; The Penn Genome Frontiers Institute; Princeton Univ., Sch. Eng. Appl. Sci., Dep. Chem. Eng. |
会议录 | 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
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会议录出版地 | United States |
语种 | 英语 |
ISBN号 | 9780770000000 |
源URL | [http://124.16.136.157/handle/311060/8688] ![]() |
专题 | 软件研究所_软件所图书馆_2010软件所会议论文 |
推荐引用方式 GB/T 7714 | Jia-Wei Zhang,Li-Ping Wang,Xia Liu,et al. chinese cardiovascular disease database (ccdd) and its management tool[C]. 见:10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010. Philadelphia, PA, United states. 43982. |
入库方式: OAI收割
来源:软件研究所
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